Repository logo
 

Interpretation of the Dynamic Response of a Masonry Arch Rail Viaduct Using Finite-Element Modeling

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Cocking, Samuel 
Acikgoz, Sinan 
DeJong, Matthew 

Abstract

Linear-elastic finite-element analysis is sometimes used to assess masonry arch bridges under service loads, despite the limitations of this method. Specifically, linear-elastic analysis can be sensitive to material properties, geometry, and support settlements, while also allowing the development of tensile stresses that may be unrealistic for masonry structures. However, even though linear-elastic methods remain appealing for their simplicity, it is rare to evaluate their output against experimental data. In this paper, detailed strain and displacement monitoring data for a masonry arch viaduct are used to evaluate a series of independently developed linear-elastic simulations of this structure. Although uncertainties in input parameters mean the magnitude of modeling results cannot be presumed accurate, the simulated response pattern was found to agree reasonably well with monitoring data in regions of low damage. However, more damaged regions produced a markedly different local response. Comparisons between the simulations revealed useful conclusions regarding common modeling assumptions, namely the importance of modeling backing material, spandrels, and foundation stiffness, to capture their influence on the arch response.

Description

Keywords

Masonry arch, Finite-element modeling, Structural health monitoring

Journal Title

Journal of Architectural Engineering

Conference Name

Journal ISSN

1076-0431
1943-5568

Volume Title

26

Publisher

ASCE

Rights

All rights reserved
Sponsorship
EPSRC (1730520)
Engineering and Physical Sciences Research Council (EP/L010917/1)
Engineering and Physical Sciences Research Council (EP/N021614/1)
Engineering and Physical Sciences Research Council (EP/K000314/1)
Engineering and Physical Sciences Research Council (EP/I019308/1)
Engineering and Physical Sciences Research Council (EP/M506485/1)
This work forms part of a PhD, which is funded through an EPSRC Doctoral Training Partnership (grant reference number EP/M506485/1). Data collection was made possible by the Cambridge Centre for Smart Infrastructure and Construction, through additional EPSRC funding (grant reference number EP/L010917/1).